Results 81 to 90 of about 5,734,459 (326)

Minimum bias multiple taper spectral estimation [PDF]

open access: yesIEEE Transactions on Signal Processing, 2018
Two families of orthonormal tapers are proposed for multitaper spectral analysis: minimum bias tapers, and sinusoidal tapers {/spl upsisup (k/)}, where /spl upsisub nsup (k/)=/spl radic/(2/(N+1))sin(/spl pi/kn/N+1), and N is the number of points.
K. Riedel, Alexander Sidorenko
semanticscholar   +1 more source

Dynamical decoupling noise spectroscopy

open access: yes, 2011
Decoherence is one of the most important obstacles that must be overcome in quantum information processing. It depends on the qubit-environment coupling strength, but also on the spectral composition of the noise generated by the environment.
Alvarez, Gonzalo A., Suter, Dieter
core   +1 more source

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

open access: yesFEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan   +2 more
wiley   +1 more source

ACCOUNTING OF INSTRUMENTAL ERRORS IN THE CONTROL OF WINDINGS OF ELECTRICAL MACHINES WITH THE USE OF QUASI-PERIODIC TEST SIGNALS

open access: yesИзвестия высших учебных заведений и энергетических объединенний СНГ: Энергетика, 2018
The solution of problems of diagnostics of windings of electric machines is associated with the necessity of selection of quasi-periodic test signals against the background noise.
A. A. Sheinikov   +2 more
doaj   +1 more source

Universal sum and product rules for random matrices

open access: yes, 2010
The spectral density of random matrices is studied through a quaternionic generalisation of the Green's function, which precisely describes the mean spectral density of a given matrix under a particular type of random perturbation.
Rogers, Tim
core   +1 more source

Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression

open access: yesMolecular Oncology, EarlyView.
Immune status significantly influences cancer progression. This study used plasma proteomics to analyze benign 67NR and malignant 4T1 breast tumor models at early and late tumor stages. Immune‐related proteins–osteopontin (Spp1), lactotransferrin (Ltf), calreticulin (Calr) and peroxiredoxin 2 (Prdx2)–were associated with systemic myeloid‐derived ...
Yeon Ji Park   +6 more
wiley   +1 more source

Probing High Frequency Noise with Macroscopic Resonant Tunneling

open access: yes, 2011
We have developed a method for extracting the high-frequency noise spectral density of an rf-SQUID flux qubit from macroscopic resonant tunneling (MRT) rate measurements.
Altomare, F.   +11 more
core   +1 more source

Targeting the MDM2‐MDM4 interaction interface reveals an otherwise therapeutically active wild‐type p53 in colorectal cancer

open access: yesMolecular Oncology, EarlyView.
This study investigates an alternative approach to reactivating the oncosuppressor p53 in cancer. A short peptide targeting the association of the two p53 inhibitors, MDM2 and MDM4, induces an otherwise therapeutically active p53 with unique features that promote cell death and potentially reduce toxicity towards proliferating nontumor cells.
Sonia Valentini   +10 more
wiley   +1 more source

Data-driven Shrinkage of the Spectral Density Matrix of a High-dimensional Time Series

open access: yes, 2014
Time series data obtained from neurophysiological signals is often high-dimensional and the length of the time series is often short relative to the number of dimensions.
M. Fiecas, R. Sachs
semanticscholar   +1 more source

Guide to Spectral Proper Orthogonal Decomposition

open access: yesAIAA Journal, 2020
This paper discusses the spectral proper orthogonal decomposition and its use in identifying modes, or structures, in flow data.
O. Schmidt, T. Colonius
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy